Rapid and label-free bioanalytical method of alpha fetoprotein detection using LSPR chip
- Authors
- Kim, Dongjoo; Kim, Jinwoon; Kwak, Cheol Hwan; Heo, Nam Su; Oh, Seo Yeong; Lee, Hoomin; Lee, Go-Woon; Vilian, A. T. Ezhil; Han, Young-Kyu; Kim, Woo-Sik; Kim, Gi-bum; Kwon, Soonjo; Huh, Yun Suk
- Issue Date
- 1-Jul-2017
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- Alpha fetoprotein; Localized surface plasmon resonance; Gold nanoparticles; Self-assembled method; Biosensor chip
- Citation
- JOURNAL OF CRYSTAL GROWTH, v.469, pp 131 - 135
- Pages
- 5
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- JOURNAL OF CRYSTAL GROWTH
- Volume
- 469
- Start Page
- 131
- End Page
- 135
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/24788
- DOI
- 10.1016/j.jcrysgro.2016.09.066
- ISSN
- 0022-0248
1873-5002
- Abstract
- Alpha fetoprotein (AFP) is a cancer marker, particularly for hepatocellular carcinoma. Normal levels of AFP are less than 20 ng/mL; however, its levels can reach more than 400 ng/mL in patients with HCC. Enzyme linked immunosorbent assay (ELISA) and radioimmunoassay (RIA) have been employed for clinical diagnosis of AFP; however, these methods are time consuming and labor intensive. In this study, we developed a localized surface plasmon resonance (LSPR) based biosensor for simple and rapid detection of AFP. This biosensor consists of a UV Vis spectrometer, a cuvette cell, and a biosensor chip nanopatterned with gold nanoparticles (AuNPs). In our LSPR biosensor, binding of AFP to the surface of the sensor chip led to an increasing magnitude of the LSPR signals, which was measured by an ultraviolet-visible (UV Vis) spectrometer. Our LSPR biosensor showed sufficient detectability of AFP at concentrations of 1 ng/mL to 1 Kg/mL. Moreover, the overall procedure for detection of AFP was completed within 20 min. This biosensor could also be utilized for a point of care test (POCT) by employing a portable UV Vis spectrometer. Owing to the simplicity and rapidity of the detection process, our LSPR biosensor is expected to replace traditional diagnostic methods for the early detection of diseases.
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Collections - College of Engineering > Department of Energy and Materials Engineering > 1. Journal Articles

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